Intraobserver and interobserver reproducibility of M-mode and B-mode acquired mitral annular plane systolic excursion (MAPSE) and its dependency on echocardiographic image quality in children

Mitral Annular Plane Systolic Excursion (MAPSE): A Review of a Simple and Forgotten Parameter for Assessing Left Ventricle Function

Mitral annular plane systolic excursion (MAPSE) was a widely used and simple M-mode echocardiographic parameter for determining the left ventricle (LV) longitudinal systolic function. The purpose of this review is to analyze the use of MAPSE as a simple LV systolic function marker in different clinical scenarios, especially given the recent paradox of choices in ultrasound markers assessing cardiac performance. Recent data on the use of MAPSE in the assessment of LV function in different settings seem to be relatively scarce, given the wide variety of possible causes of cardiovascular pathology. There remain significant possible clinical applications of MAPSE utilization. This review included all major articles on the topic of mitral annular plane systolic excursion published and indexed in the PubMed, Google Scholar, and Scopus databases. We analyzed the potential implications of using simpler ultrasonographical tools in heart failure diagnosis, prediction, and treatment. MAPSE is a dependable, robust, and easy-to-use parameter compared to ejection fraction (EF) or global longitudinal strain (GLS) for the quick assessment of LV systolic function in various clinical settings. However, there may be a gap of evidence in certain scenarios such as conventional cardiac pacing.

Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings

Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular complications. The standard of care for cardiac monitoring performed by trained cardiologists and anesthesiologists involves a manual and qualitative evaluation of ultrasound imaging, which is a time-demanding and resource-intensive process with intraobserver- and interobserver variability. In practice, such measures can only be performed a limited number of times during the intervention. To overcome these difficulties, this study presents a robust method for automatic and quantitative monitoring of cardiac function based on 3D transesophageal echocardiography (TEE) B-mode ultrasound recordings of the left ventricle (LV). Such an assessment obtains consistent measurements and can produce a near real-time evaluation of ultrasound imagery. Hence, the presented method is time-saving and results in increased accessibility. The mitral annular plane systolic excursion (MAPSE), characterizing global LV function, is estimated by landmark detection and cardiac view classification of two-dimensional images extracted along the long-axis of the ultrasound volume. MAPSE estimation directly from 3D TEE recordings is beneficial since it removes the need for manual acquisition of cardiac views, hence decreasing the need for interference by physicians. Two convolutional neural networks (CNNs) were trained and tested on acquired ultrasound data of 107 patients, and MAPSE estimates were compared to clinically obtained references in a blinded study including 31 patients. The proposed method for automatic MAPSE estimation had low bias and low variability in comparison to clinical reference measures. The method accomplished a mean difference for MAPSE estimates of (-0.16±1.06) mm. Thus, the results did not show significant systematic errors. The obtained bias and variance of the method were comparable to inter-observer variability of clinically obtained MAPSE measures on 2D TTE echocardiography. The novel pipeline proposed in this study has the potential to enhance cardiac monitoring in perioperative- and intensive care settings.

Machine learning derived echocardiographic image quality in patients with left ventricular systolic dysfunction: insights on the echo views of greatest image quality

We sought to determine the cardiac ultrasound view of greatest quality using a machine learning (ML) approach on a cohort of transthoracic echocardiograms (TTE) with abnormal left ventricular (LV) systolic function. We utilize an ML model to determine the TTE view of highest quality when scanned by sonographers. A random sample of TTEs with reported LV dysfunction from 09/25/2017-01/15/2019 were downloaded from the regional database. Component video files were analyzed using ML models that jointly classified view and image quality. The model consisted of convolutional layers for extracting spatial features and Long Short-term Memory units to temporally aggregate the frame-wise spatial embeddings. We report the view-specific quality scores for each TTE. Pair-wise comparisons amongst views were performed with Wilcoxon signed-rank test. Of 1,145 TTEs analyzed by the ML model, 74.5% were from males and mean LV ejection fraction was 43.1 ± 9.9%. Maximum quality score was best for the apical 4 chamber (AP4) view (70.6 ± 13.9%, p<0.001 compared to all other views) and worst for the apical 2 chamber (AP2) view (60.4 ± 15.4%, p<0.001 for all views except parasternal short-axis view at mitral/papillary muscle level, PSAX M/PM). In TTEs scanned by professional sonographers, the view with greatest ML-derived quality was the AP4 view.

Tissue Mitral Annular Displacement in Patients With Myocardial Infarction - Comparison With Global Longitudinal Strain

Background: Global longitudinal strain (GLS) can predict prognosis after myocardial infarction (MI). Tissue mitral annular displacement (TMAD) is another index of longitudinal left ventricular deformity, and is less dependent on image quality than GLS. We investigated the relationship between TMAD and GLS, and their ability to predict outcomes after MI. Methods and Results: GLS and TMAD were measured on echocardiograms 2 weeks after MI in 246 consecutive patients (median age 62 years, 85.7% male). TMAD was measured from apical 4- and 2-chamber views (TMAD4ch and TMAD2ch, respectively), and a mean value (TMADav) was calculated. TMAD4ch, TMAD2ch, and GLS were successfully measured in 240 (97.5%), 210 (85.3%) and 214 patients (87.0%), respectively. All TMAD parameters were significantly correlated with GLS (R=0.71-0.75) and left ventricular ejection fraction (LVEF; R=0.48-0.53). TMAD parameters were weakly correlated with peak creatine kinase (CK; R=0.20) and CK-MB (R=0.21-0.25). GLS and TMADav were significantly associated with LVEF after 6 months (R=0.48-0.53) and all-cause mortality during the follow-up period (median 1,242 days). TMADav discriminated patients with higher all-cause mortality when patients were divided into 3 groups, namely upper 25%, middle range, and lower 25% of TMADav (P=0.041, log-rank test). GLS detected high-risk patients using 15.0% as a cut-off value. Conclusions: TMAD could be a simple and reliable alternative to GLS for predicting outcomes in patients with MI.

Feasibility and Reliability of Automatic Quantitative Analyses of Mitral Annular Plane Systolic Excursion by Handheld Ultrasound Devices: A Pilot Study

OBJECTIVES

Handheld ultrasound devices (HUDs) have previously been limited to grayscale imaging without options for left ventricle (LV) quantification. We aimed to study the feasibility and reliability of automatic measurements of mitral annular plane systolic excursion (MAPSE) by HUDs.

METHODS

An algorithm that automatically measured MAPSE from live grayscale recordings was implemented in a HUD. Twenty patients at a university hospital were examined by either a cardiologist or a sonographer. Standard echocardiography using a high-end scanner was performed. The apical 4-chamber view was recorded 4 times by both echocardiography and the HUD. MAPSE was measured by M-mode and color tissue Doppler (cTD) during echocardiography and automatically by the HUD.

RESULTS

The automatic method underestimated mean MAPSE ± SD versus M-mode (9.6 ± 2.2 versus 10.9 ± 2.6 mm; difference, 1.2 ± 1.4 mm, P < .005). The difference between the automatic and cTD measurements was not significant (0.8 ± 1.8 mm; P = .073). The intraclass correlation coefficients (ICCs) between automatic and M-mode measurements was 0.85, and 0.81 for cTD measurements. There was good agreement between the methods, and the intra- and inter-rater ICCs were excellent for all methods (≥0.86).

CONCLUSIONS

In this novel study evaluating automatic quantification of LV longitudinal function by HUD, we showed the high feasibility and reliability of the method. Compared to M-mode imaging, the automatic method underestimated MAPSE by 8% to 10%, but the difference with cTD imaging was nonsignificant. We conclude that this study's method for automatic quantitative assessment of LV function can be integrated in HUDs.

Echocardiographic evaluation of left ventricular systolic function by the M-mode lateral mitral annular plane systolic excursion in patients with Duchenne muscular dystrophy age 0-21 years

BACKGROUND AND AIMS

Duchenne muscular dystrophy (DMD) results in cardiac fibrosis and dysfunction. These patients frequently have poor image quality. Mitral annular plane systolic excursion (MAPSE) is a reproducible and reliable method for determining function and can be a valuable tool in patients with poor images. Our study was performed to evaluate the feasibility of MAPSE and compare it to shortening fraction (SF) in patients with DMD.

METHODS

Lateral M-mode MAPSE was obtained on all echocardiograms performed on DMD patients aged 0 to 21 years between October 2013 and April 2015. Retrospectively, interobserver and intraobserver variability was determined for these measurements and each measurement was compared to patient characteristics and measured values of SF.

RESULTS

There was good interobserver (r 2 = .66, P = .0081) correlation. Seventeen of 59 echocardiograms (29%) had abnormal SF while 32 (54%) echocardiograms had an abnormal M-mode lateral MAPSE Z-score. There was no significant association between lateral MAPSE Z-score and SF. Age at the time of echocardiogram and time from diagnosis to echocardiogram both had a significant negative correlation with lateral MAPSE.

CONCLUSIONS

Lateral M-mode MAPSE measurements are reproducible in young patients with Duchenne muscular dystrophy. M-mode lateral MAPSE may worsen over length of time with Duchenne muscular dystrophy. Further studies are necessary to provide absolute conclusions, but this study shows that lateral M-mode MAPSE may be a valuable additional tool at routine echocardiogram in these patients.

Longitudinal assessment of ventricular strain, tricuspid and mitral annular plane systolic excursion (TAPSE and MAPSE) in fetuses from pregnancies complicated by diabetes mellitus

OBJECTIVES

To evaluate fetal cardiac function using myocardial deformation analyses, tricuspid annular plane systolic excursion (TAPSE), mitral annular plane systolic excursion (MAPSE) and diastolic function parameters in pregnancies complicated by maternal diabetes mellitus.

METHODS

Myocardial deformation using velocity vector imaging (VVI), TAPSE, MAPSE and diastolic function was measured in 126 women with uncomplicated singleton pregnancies and 50 women with diabetes mellitus. Women underwent ultrasound scans every four weeks from recruitment (18-28 weeks gestational age) until delivery.

RESULTS

Left ventricle strain and strain rate, right ventricle strain and strain rate, TAPSE, MAPSE and diastolic parameters were not different between the diabetic cohort and controls throughout gestation. We did not find any significant correlation between the fetal cardiac function parameters with parity or smoking status. There was however a significant difference in strain and strain rate values in the left ventricle, but not the right ventricle in women with BMI >30 kg/m², and reduced TAPSE values in this same group. Fetuses in the diabetes group had thicker interventricular septum (IVS) throughout gestation.

CONCLUSION

Myocardial deformation of the fetal left ventricle, as measured by VVI, and TAPSE were reduced in fetuses of mothers in association with maternal obesity but not in women with diabetes mellitus. No significant differences in the fetal cardiac function parameters measured were different between the two groups, except for IVS thickness.

Longitudinal Reference Ranges for Tricuspid Annular Plane Systolic Excursion and Mitral Annular Plane Systolic Excursion in Normally Grown Fetuses

OBJECTIVES

The aim of this study was to construct reference ranges for fetal tricuspid annular plane systolic excursion (TAPSE) and mitral annular plane systolic excursion (MAPSE) using conventional M-mode ultrasound (US) in the second half of pregnancy.

METHODS

Participants underwent US scans every 4 weeks from 18 weeks' gestation until delivery. The TAPSE and MAPSE were measured by conventional M-mode US at each examination. The relationships between TAPSE and MAPSE and gestational age and estimated fetal weight were modeled by Bayesian mixed effects linear regression.

RESULTS

Positive linear relationships were observed between both MAPSE and TAPSE and gestational age and estimated fetal weight. Reference centiles for TAPSE and MAPSE were developed.

CONCLUSIONS

This simple technique is a useful tool for assessing cardiac function and could be used for quantitative assessments of fetal cardiac function, particularly in high-risk pregnancies such as those complicated by maternal diabetes.

Time to shape up - assessment and reporting standards for data quality in clinical research using echocardiographic imaging techniques require improvement

Advanced echocardiography techniques such as speckle tracking imaging are sensitive diagnostic tools frequently used in various clinical and scientific scenarios. Importantly, imperfect reproducibility and dependence of post-processing algorithms on echocardiographic image quality are potential methodological limitations. Therefore, meticulous assessment of data quality and detailed reporting of study methodology, sample specifics, technical peculiarities and measurement conditions are crucial. Unfortunately, despite the recognized importance of this, there is still no broadly accepted standard for assessing the quality of echocardiographic images in clinical research reports. This article quintessentially highlights important shortcomings of data quality assessment and methodological study design, commonly occurring in clinical research reports using advanced echocardiography techniques. Finally, suggestions are made as to how researchers, scientific communities and biomedical journals can contribute to the ever-lasting process of improving the quality of clinical research in cardiovascular imaging.

A Practical Guide to Assess the Reproducibility of Echocardiographic Measurements

Echocardiography plays an essential role in the diagnosis and assessment of cardiovascular disease. Measurements derived from echocardiography are also used to determine the severity of disease, its progression over time, and to aid in the choice of optimal therapy. It is therefore clinically important that echocardiographic measurements be reproducible, repeatable, and reliable. There are a variety of statistical tests available to assess these parameters, and in this article the authors summarize those available for use by echocardiographers to improve their clinical practice. Correlation coefficients, linear regression, Bland-Altman plots, and the coefficient of variation are explored, along with their limitations. The authors also provide an online tool for the easy calculation of these statistics in the clinical environment (www.birmingham.ac.uk/echo). Quantifying and enhancing the reproducibility of echocardiography has important potential to improve the value of echocardiography as the basis for good clinical decision-making.

Mitral Annular Plane Systolic Excursion: A Simple, Reliable Echocardiographic Parameter to Detect Left Ventricular Systolic Dysfunction in Patients Undergoing Off-Pump Coronary Artery Bypass Grafting with Transesophageal Echocardiography

OBJECTIVES

This study's objective was to test the hypothesis that transesophageal echocardiography (TEE)-based mitral annular plane systolic excursion (MAPSE) measurement is useful in perioperative settings to detect left ventricular (LV) systolic dysfunction in patients undergoing off-pump coronary artery bypass grafting (OPCAB).

DESIGN

Retrospective observational study.

SETTING

Tertiary-care level hospitals.

PARTICIPANTS

The study comprised 116 patients undergoing OPCAB to obtain cutoffs of MAPSE to detect LV dysfunction. These cutoffs were validated in another 105 patients from 2 other institutions.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

In 116 patients who had undergone OPCAB during the study period with TEE monitoring, MAPSE was measured post hoc at the lateral and septal mitral (and average) annulus using the software tool M.mode.ify (http://www.ultrasoundoftheweek.com/M.mode.ify). Receiver operating curves were constructed to obtain cutoff values of MAPSE at the lateral and septal (and average) annulus of the mitral valve to predict LV systolic dysfunction, which was defined by an ejection fraction <52% for men and <54% for women as measured using the biplane method of disks. These cutoff values then were validated in another 105 patients. LV systolic dysfunction was present in 43% patients. Youden's index values of 9mm for lateral MPASE (area under the receiver operating curve [AUC] 0.93 [confidence interval {CI} 0.87-0.97]; p < 0.0001); 7mm for septal MAPSE (AUC 0.87 [CI 0.79-0.92]; p < 0.0001); and 9mm for average MAPSE (AUC 0.92 [CI 0.86-0.96]; p < 0.0001) were obtained. These cutoffs were statistically significant in the validation cohort (p < 0.0001) with an AUC of 0.84 (CI 0.75-0.90), sensitivity of 86.2%, specificity of 80.8%, positive predictive value of 84.8%, and negative predictive value of 82.6%.

CONCLUSIONS

MAPSE is a simple, rapid, and reliable method to detect LV dysfunction using TEE in patients undergoing OPCAB. Its use as screening tool for LV dysfunction is recommended.